Showing 1-5 of 7 uncategorized:
Enhancing Patient Journeys in Clinical Research with AI-Phenotyping

Understanding the patient journey has become crucial for improving treatment outcomes and addressing unmet needs. Pharmaceutical companies need deeper insights into the patient experience — from initial symptoms through diagnosis, treatment, and long-term management – to improve market visibility and marketing opportunities, demonstrate the value of treatments and treatment effectiveness, and ensure the right patients[…]

Leveraging AI to Amplify PHQ-9 Endpoint Availability for Improving Depression Research

By OM1   |   July 16, 2024 When dealing with depression research, accurate real-world data is crucial to demonstrate real-world effectiveness. But what happens when critical data is buried in unstructured clinical notes? And how can we leverage real-world data sources for outcomes research when less than a third of all psychiatry and mental health practices[…]

Integrated Real-World Evidence Generation for Regulatory and Other Research

By Richard Gliklich, MD, CEO, OM1  |   May 22, 2023 Integrated evidence generation (IEG) is a framework for generating evidence to support decision-making in healthcare. It involves the integration of multiple sources of real-world data (RWD), including electronic health records (EHR), claims data, and patient-generated data, to provide a more comprehensive and accurate view of[…]

National Minority Health Month: Better Health Through Better Understanding

By Jessica Paulus, ScD, VP of Research, OM1   |   April 25, 2023 Boston is recognized as a hub for medical advancement, with some of the best hospitals and medical professionals in the U.S. and the world. But what about patients who cannot access advanced care given barriers related to where they live, their available[…]

Using Real-World Data and AI to Phenotype HFpEF Patients and Advance HF Research

  By Gary Curhan, MD, CMO, OM1 Real-world data (RWD) can be used to find appropriate patients for observational studies and clinical trials, but for study eligibility, clinicians and researchers need details not found in claims. Using heart failure with preserved ejection fraction (HFpEF) as an example, ejection fraction (EF) values are needed but they[…]